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ToraxIA: Virtual assistant for radiologists based on deep learning from Chest X-ray
(Artificial Intelligence, Computer and Software Engineering Advances, 2021)
Parkinson’s disease identification using restricted Boltzmann machines
(2017-01-01)
Currently, Parkinson’s Disease (PD) has no cure or accurate diagnosis, reaching approximately 60,000 new cases yearly and worldwide, being more often in the elderly population. Its main symptoms can not be easily uncorrelated ...
Handwritten pattern recognition for early Parkinson's disease diagnosis
(2019-07-01)
Parkinson's disease is a neurodegenerative disorder that affects around 10 million people in the world and is slightly more prevalent in males. It is characterized by the loss of neurons in a region of the brain known as ...
Teaching and Learning Modalities in Higher Education During the Pandemic: Responses to Coronavirus Disease 2019 From Spain
The effects of the pandemic have affected and continue to affect education methods every day. The education methods are not immune to the pandemic periods we are facing, so teachers must know how to adapt their methods in ...
Classification of Breast Cancer and Breast Neoplasm Scenarios Based on Machine Learning and Sequence Features from lncRNAs–miRNAs-Diseases Associations
(Springer, 2021)
The influence of non-coding RNAs, such as lncRNAs (long non-coding RNAs) and miRNAs (microRNAs), is undeniable in several diseases, for example, in the formation of neoplasms and cancer scenarios. However, there are ...
Neglected Diseases in Brazilian Biology Textbooks
(Science and Education Publishing, 2018)
Detection of soybean pests and diseases through machine learning techniquesDetecção de pragas e doenças da soja através de técnicas de aprendizado de máquina
(Universidade Federal de LavrasPrograma de Pós-graduação em Ciência da ComputaçãoUFLAbrasilDepartamento de Ciência da Computação, 2023)